| Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes | Aug 4, 2023 | Binary ClassificationContrastive Learning | CodeCode Available | 0 | 5 |
| TraCE: Trajectory Counterfactual Explanation Scores | Sep 27, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections | May 24, 2022 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary Pronouns | Apr 30, 2024 | coreference-resolutionCoreference Resolution | CodeCode Available | 0 | 5 |
| Treble Counterfactual VLMs: A Causal Approach to Hallucination | Mar 8, 2025 | Autonomous Drivingcounterfactual | CodeCode Available | 0 | 5 |
| Efficient Search for Diverse Coherent Explanations | Jan 2, 2019 | counterfactual | CodeCode Available | 0 | 5 |
| Causal Expectation-Maximisation | Nov 4, 2020 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Efficient computation of contrastive explanations | Oct 6, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 | 5 |
| Does It Make Sense to Explain a Black Box With Another Black Box? | Apr 23, 2024 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing | May 25, 2022 | counterfactualData Augmentation | CodeCode Available | 0 | 5 |
| Efficient computation of counterfactual explanations of LVQ models | Aug 2, 2019 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 0 | 5 |
| Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games | Feb 13, 2021 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| ECINN: Efficient Counterfactuals from Invertible Neural Networks | Mar 25, 2021 | counterfactualimage-classification | CodeCode Available | 0 | 5 |
| Consistent Document-Level Relation Extraction via Counterfactuals | Jul 9, 2024 | counterfactualDocument-level Relation Extraction | CodeCode Available | 0 | 5 |
| Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box | Mar 4, 2022 | Benchmarkingcounterfactual | CodeCode Available | 0 | 5 |
| Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators | Feb 28, 2024 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Health | Oct 12, 2024 | counterfactualData Augmentation | CodeCode Available | 0 | 5 |
| Effective Explanations for Entity Resolution Models | Mar 24, 2022 | Attributecounterfactual | CodeCode Available | 0 | 5 |
| Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation | Apr 12, 2021 | counterfactualPrediction | CodeCode Available | 0 | 5 |
| Double Robust Representation Learning for Counterfactual Prediction | Oct 15, 2020 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Dynamic Causal Collaborative Filtering | Aug 23, 2022 | Collaborative Filteringcounterfactual | CodeCode Available | 0 | 5 |
| Constructions are Revealed in Word Distributions | Mar 8, 2025 | counterfactual | CodeCode Available | 0 | 5 |
| Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation | May 25, 2023 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data | Jan 13, 2023 | counterfactualparameter estimation | CodeCode Available | 0 | 5 |
| DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data | Mar 7, 2023 | counterfactualGenerative Adversarial Network | CodeCode Available | 0 | 5 |
